Biologic and maintenance systemic corticosteroid therapy among US subspecialist-treated patients with severe asthma
Bibliographic record
Abstract
BACKGROUND: Severe asthma (SA) often requires subspecialist management and treatment with biologic therapies or maintenance systemic corticosteroids (mSCS). OBJECTIVE: To describe contemporary, real-world biologic and mSCS use among US subspecialist-treated patients with SA. METHODS: CHRONICLE is an ongoing, noninterventional study of US adults with SA treated by allergists/immunologists or pulmonologists. Eligible patients are receiving biologics or mSCS or are uncontrolled on high-dosage inhaled corticosteroids with additional controllers. Biologic and mSCS use patterns and patient characteristics were summarized for patients enrolled between February 2018 and February 2019. RESULTS: Among protocol-eligible patients, 58% and 12% were receiving biologics and mSCS, respectively, with 7% receiving both. Among 796 enrolled, most were women (67%), non-Hispanic white (71%), of suburban residence (50%), and had elevated body mass index (median: 31). Respiratory and nonrespiratory comorbidities were highly prevalent. With biologics (n = 557), 51% were anti-immunoglobulin E and 48% were anti-interleukin (IL)-5/IL-5Rα; from May 2018, 76% of initiations were anti-IL-5/IL-5Rα. In patients receiving mSCS, median prednisone-equivalent daily dose was 10 mg. Multivariate logistic regression found that patients of hospital clinics, sites with fewer nonphysician staff, and with a recorded concurrent chronic obstructive pulmonary disease diagnosis were less likely to receive biologics and more likely to receive mSCS. CONCLUSION: In this real-world sample of US subspecialist-treated patients with SA not controlled by high-dosage inhaled corticosteroids with additional controllers, mSCS use was infrequent and biologic use was common, with similar prevalence of anti-immunoglobulin E and anti-IL-5/IL-5Rα biologics. Treatment differences associated with patient and site characteristics should be investigated to ensure equitable access to biologics and minimize mSCS use. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT03373045.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".